Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods.
The analysis of social discourses from the perspective of historical changes deserves special attention. Such a study could play a key role in revealing social changes and latent narrative of those in power; and understanding the underlying social dynamic in a given period. Until the recent years, s...
| Published in: | Historical Methods Vol. 54; no. 1; pp. 1 - 14 |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
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Taylor & Francis Ltd
Jan-Mar2021
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=148859329&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 148859329 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01615440 HMT jtl: Historical Methods issn: 01615440 maglogo: N pubinfo: dt: Jan-Mar2021 vid: 54 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 148859329 10.1080/01615440.2020.1823289 ppf: 1 ppct: 13 formats: tig: atl: Exploring the dynamic changes of key concepts of the Hungarian socialist era with natural language processing methods. aug: au: Szabó, Martina Katalin Ring, Orsolya Nagy, Balázs Kiss, László Koltai, Júlia Berend, Gábor Vidács, László Gulyás, Attila Kmetty, Zoltán affil: Computational Social Science – Research Center for Educational and Network Studies (CSS-RECENS), Centre for Social Sciences, Budapest, Hungary Department of Software Engineering, University of Szeged, Szeged, Hungary Department of Social Research Methodology, Faculty of Social Sciences, Eötvös Loránd University of Sciences, Budapest, Hungary Research Group on Artificial Intelligence (RGAI), Hungarian Academy of Sciences (HAS) and University of Szeged (SZTE), Szeged, Hungary Department of Sociology, Eötvös Loránd University of Sciences, Faculty of Social Sciences, Budapest, Hungary su: Socialism Text mining Social change Social dynamics Qualitative research Social history Hungary sug: subj: Hungary Socialism Text mining Social change Social dynamics Qualitative research Social history keyword: historical analysis Natural language processing socialism text mining ab: The analysis of social discourses from the perspective of historical changes deserves special attention. Such a study could play a key role in revealing social changes and latent narrative of those in power; and understanding the underlying social dynamic in a given period. Until the recent years, such issues were analyzed mainly in a qualitative approach. In our paper we present a new way of revealing/discovering and interpreting social discourses using an advanced NLP method called word embedding. Based on word similarities we can understand the main structural frames of a given system and using a dynamic approach we can reveal the social changes in a historical period. In our study we created a large corpus from the Hungarian "Pártélet" journal (1956–89). This was the official journal of the governing party, hence it represents not just a media discourse of the era, but the official discourse of the government, too. One of the main focal points of our research is to study the evolution of the semantic content of some of the concepts related to the topics of agriculture and industry, which are two central notions of the examined era. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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